{"id":"W4410095936","doi":"10.63689/2993-7159.1274","title":"Development of Aczel-Alsina Aggregation Operators in Neutrosophic Cubic Sets for Multi-Expert and Multi-Criteria Weighting: Optimizing Alternative Fuel Technology Selection","year":2025,"lang":"en","type":"article","venue":"Neutrosophic Systems with Applications","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Prince Edward Island","funders":"","keywords":"Weighting; Selection (genetic algorithm); Computer science; Mathematics; Mathematical optimization; Artificial intelligence; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006922796,0.001274307,0.001106044,0.002210923,0.0008750961,0.002128769,0.001545552,0.0009808125,0.001232648],"category_scores_gemma":[0.01163935,0.0003995834,0.001429452,0.002324583,0.001271756,0.002735839,0.002489178,0.002106125,0.0002046667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001668712,"about_ca_system_score_gemma":0.001876103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003449697,"about_ca_topic_score_gemma":0.003201132,"domain_scores_codex":[0.9961217,0.001758244,0.0002555273,0.0004083589,0.001310332,0.0001457943],"domain_scores_gemma":[0.9954182,0.002580319,0.0003816149,0.0002772832,0.001206835,0.0001357402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009053047,0.00008645046,0.001200005,0.0002649901,0.00009704012,0.0001283189,0.000569311,0.5854689,0.004524338,0.2303178,0.001548708,0.1757036],"study_design_scores_gemma":[0.000005690846,0.00004465146,0.0001589731,0.00002626697,0.000011183,0.00002308645,0.00004938795,0.9463395,0.001303981,0.0503537,0.001664014,0.00001956334],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006496124,0.0001133262,0.9919086,0.00007424489,0.00002222579,0.00004887345,0.00002517439,0.00002866236,0.001282724],"genre_scores_gemma":[0.2131501,0.0003523456,0.7848641,0.00009483994,0.00005874671,0.0003513989,0.0001198591,0.00004932267,0.0009592951],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006922796,"threshold_uncertainty_score":0.03661168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1263235031948816,"score_gpt":0.4256346927691251,"score_spread":0.2993111895742435,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}